Instructions to use AIRI-Institute/gena-lm-bert-large-t2t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIRI-Institute/gena-lm-bert-large-t2t with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AIRI-Institute/gena-lm-bert-large-t2t", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AIRI-Institute/gena-lm-bert-large-t2t", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("AIRI-Institute/gena-lm-bert-large-t2t", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b38ed73d71454b573c161813ce2794ba499b7f44ba60064814d474d416c786a
- Size of remote file:
- 1.48 GB
- SHA256:
- 6334b8cc62182a1db370a388e115d346d9fdb6eb6083cbbd969d82bdbaa2eb1e
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